| Literature DB >> 31888763 |
Kosuke Ogawa1, Qiushi Lin2, Le Li3, Xuewei Bai1,3, Xuesong Chen4, Hua Chen3, Rui Kong3, Yongwei Wang3, Hong Zhu5, Fuliang He2,6, Qinggang Xu2,7, Lianxin Liu8,9, Min Li10, Songhua Zhang1, Katsuya Nagaoka1, Rolf Carlson1, Howard Safran11, Kevin Charpentier12, Bei Sun3, Jack Wands13, Xiaoqun Dong14,15,16.
Abstract
BACKGROUND: Signaling pathways critical for embryonic development re-emerge in adult pancreas during tumorigenesis. Aspartate β-hydroxylase (ASPH) drives embryonic cell motility/invasion in pancreatic development/differentiation. We explored if dysregulated ASPH is critically involved in pancreatic cancer pathogenesis.Entities:
Keywords: Aspartate β-hydroxylase; Invadopodium; Metastasis; Pancreatic ductal adenocarcinoma; Patient-derived xenograft; SRC
Mesh:
Substances:
Year: 2019 PMID: 31888763 PMCID: PMC6937817 DOI: 10.1186/s13045-019-0837-z
Source DB: PubMed Journal: J Hematol Oncol ISSN: 1756-8722 Impact factor: 17.388
Fig. 1ASPH-mediated aggressive phenotypes are reversed in vitro by a small molecule inhibitor (SMI) specifically against its β-hydroxylase activity in pancreatic cancer cells. a Scheme of 3-D tumor spheroid invasion assay. b 3-D tumor spheroid invasion in response to SMI. c ECM degradation/remodeling in response to SMI. d 3-D pancreatosphere formation in response to SMI. e Scheme of in vitro metastasis assay of pancreatic cancer cells, which mimics local invasion (penetration through basement membrane) at the primary site, intravasation/extravasation, invasion into distant tissue, and eventual metastatic colonization/outgrowth at distant sites. f Transendothelial migration and intravasation/extravasation; g Invasion through basement membrane and subsequent pancreatosphere formation in response to SMI. *p < 0.05; **p < 0.01; ***p < 0.001
Fig. 2ASPH activates SRC signaling in pancreatic cancer. a A direct physical interaction of ASPH with ADAM12 or ADAM15 was detected by co-IP in HEK293 cells. b Endogenous ASPH-induced SRC activation (Y416) was efficiently inhibited by dasatinib. ADAM12 or ADAM15 overexpression substantially activated SRC was blocked by dasatinib. c ASPH KO or ADAM12/ADAM15 knock-down markedly downregulated SRC signal. d, e Exogeneous or f, g endogenous ASPH-mediated activation of SRC signaling was inhibited by both SMI and dasatinib. h 3-D tumor spheroid invasion in response to dasatinib. i ECM degradation/remodeling in response to dasatinib. j 3-D pancreatosphere formation in response to dasatinib. k Transendothelial migration and intravasation/extravasation. l Invasion through basement membrane and subsequent pancreatosphere formation cells in response to dasatinib. *p < 0.05; **p < 0.01; ***p < 0.001
Fig. 3ASPH-SRC signal promotes invadopodia formation, maturation, and function in pancreatic cancer. a Invadopodia formation and ECM degradation/remodeling in response to Wiskostatin. b 3-D tumor spheroid invasion in response to Wiskostatin. c 3-D pancreatosphere formation in response to Wiskostatin. d Transendothelial migration and extravasation. e Invasion through basement membrane and subsequent pancreatosphere formation in response to Wiskostatin. *p < 0.05; **p < 0.01; ***p < 0.001
Fig. 4In vivo antitumor effects of a third-generation SMI (MO-I-1182) targeting ASPH enzymatic activity on PDX murine models of human PDAC. a Histopathologic characteristics (H&E) of original tumors (F0) derived from PDAC patient B and xenografted tumors in representative mice of F1 through F4 generation PDX model. b Pulmonary macro-metastases in representative F4 PDX mice derived from patient B. One hundred percent (14/14) of F4 PDX mice had spontaneously developed pulmonary metastasis. c Expression profiling of ASPH-SRC components in resected primary PDAC tumor specimens derived from patients B. d Gross appearance of the involved lungs, histopathologic characteristics, and expression profiling of ASPH in transplanted primary tumors as well as pulmonary macro-metastases in a representative mouse of the F5 generation PDX model derived from PDAC patient B. e Transplanted primary tumor growth in mice of the F5 generation PDX model in response to i.p. injected SMI vs. DMSO control. It took 4–5 weeks for the transplanted tumors to grow up to 100 mm3, when treatment with MO-I-1182 (10 mg/kg, i.p., every other day) was initiated. The mice were followed up for 5 weeks until the tumors grew up to 1000 mm3. f Antitumor effects of i.p. injected SMI on pulmonary metastasis. SMI blocks pulmonary micro-/macro-metastases in mice of F5 generation PDX derived from patient B. g–i Expression profiling of ASPH and MMPs detected by IHC and qRT-PCR in representative mice of the F5 generation PDX model treated with SMI vs. DMSO control. *p < 0.05; **p < 0.01; ***p < 0.001
Fig. 5Expression profiling of ASPH network components in pancreatic cancer patients. a–f Expression of ASPH in a normal pancreas; b precursor lesions for sporadic pancreatic cancer: PanINs, IPMN, and MCN; c pancreatic MCAC; d invasive PDAC; e OGCs; f adjacent non-malignant pancreas. g, h Histopathologic characteristics and ASPH network expression profiling in two representative tumors derived from PDAC patients. SRC cascades were consistently g downregulated/silenced vs. h upregulated/activated in ASPH negative (patient #12) vs. positive (patient #13) PDAC
Fig. 6Expression levels of ASPH-Notch/SRC axis elements predict clinical outcome of PDAC patients. a–e ASPH expression level positively correlated with SRC components levels. Active SRC expression level positively correlated with ADAM12 level. Staining intensity and distribution of IHC were evaluated under × 10, × 40, × 100, and × 400 magnification. The average of percentage (number of positive staining cells/100 tumor cells) was calculated from at least 10 areas per high power field (HPF). f–j Compared to a negative-low level, a moderate-high level of ASPH; MMP1/14; ADAM12; or active SRC expression conferred reduced OS of PDAC patients (log-rank test, ps < 0.001). k, l Combined effects of four (SRC axis) or five (ASPH-SRC axis) molecules on OS of PDAC patients using the Kaplan-Meier method. The numbers from 0 to 12 indicate the total expression scores of at-risk proteins (log-rank test, p < 0.001). *p < 0.05; **p < 0.01; ***p < 0.001